1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum      0.999       1.00
## LDevsum      0.999       1.00
## dh0          1.015       1.05
## dh1          1.015       1.05
## dl0          1.868       3.52
## dl1          1.718       3.22
## dl2          1.336       2.05
## dl3          1.096       1.23
## 
## Multivariate psrf
## 
## 1.78

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.03
## LDevsum       1.01       1.03
## dh0           1.60       2.91
## dh1           1.52       2.73
## dl0           1.37       2.49
## dl1           2.57       5.95
## dl2           1.02       1.05
## dl3           2.43       6.74
## 
## Multivariate psrf
## 
## 1.87

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results